class_docstr: Policy object that implements a TD3-like actor critic
  
  :param sess: (TensorFlow session) The current TensorFlow session
  :param ob_space: (Gym Space) The observation space of the environment
  :param ac_space: (Gym Space) The action space of the environment
  :param n_env: (int) The number of environments to run
  :param n_steps: (int) The number of steps to run for each environment
  :param n_batch: (int) The number of batch to run (n_envs * n_steps)
  :param reuse: (bool) If the policy is reusable or not
  :param scale: (bool) whether or not to scale the input
docstr: Returns the policy for a single step
  
  :param obs: ([float] or [int]) The current observation of the environment
  :param state: ([float]) The last states (used in recurrent policies)
  :param mask: ([float]) The last masks (used in recurrent policies)
  :return: ([float]) actions
docstr_tok: ["Returns","the","policy","for","a","single","step",":","param","obs",":","(","[","float","]","or","[","int","]",")","The","current","observation","of","the","environment",":","param","state",":","(","[","float","]",")","The","last","states","(","used","in","recurrent","policies",")",":","param","mask",":","(","[","float","]",")","The","last","masks","(","used","in","recurrent","policies",")",":","return",":","(","[","float","]",")","actions"]
code: def proba_step(self, obs, state=None, mask=None):
      """
      Returns the policy for a single step
  
      :param obs: ([float] or [int]) The current observation of the environment
      :param state: ([float]) The last states (used in recurrent policies)
      :param mask: ([float]) The last masks (used in recurrent policies)
      :return: ([float]) actions
      """
      return self.step(obs, state, mask)
  
imports: import tensorflow
  from gym.spaces import Box
  from stable_baselines.common.policies import BasePolicy, nature_cnn, register_policy
  from stable_baselines.common.tf_layers import mlp
label_desc: Use image node_id 5 for calling the TD3Policy obj's underlying member method code with example usage: obj.proba_step(obs, state, mask) and returns: self